Explores different types of graphs achievable with Matplotlib, showcasing a variety of visualization techniques.
Covers a wide range of topics in Matplotlib, including simple plots, subplots, and various types of charts.
Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Explores parallel computation in CFD, emphasizing its implementation in Fluent and visualization techniques for scientific data interpretation.
Explores the use of visual extensions like AR and VR in the workplace, emphasizing their benefits, challenges, and importance for enhancing workplace efficiency.
